Data Analytics for Energy and Climate

Graduate

This course provides an introduction to the concepts and applications of data analytics for energy and climate. Topics include data collection and preparation, descriptive statistics, machine learning, optimization, and visualization. The course will introduce the overall process of using data analytics to solve problems, leveraging real-world data related to energy and climate. Students acquire a working knowledge of coding and analytics (Python or similar) with practical datasets related to electricity markets, power system operations, and climate.